Jionglong Su

2.7k total citations
102 papers, 1.5k citations indexed

About

Jionglong Su is a scholar working on Molecular Biology, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Jionglong Su has authored 102 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Artificial Intelligence and 19 papers in Management Science and Operations Research. Recurrent topics in Jionglong Su's work include RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (18 papers) and Stock Market Forecasting Methods (18 papers). Jionglong Su is often cited by papers focused on RNA modifications and cancer (20 papers), Cancer-related molecular mechanisms research (18 papers) and Stock Market Forecasting Methods (18 papers). Jionglong Su collaborates with scholars based in China, United Kingdom and United States. Jionglong Su's co-authors include Jia Meng, Kunqi Chen, Zhen Wei, Daniel J. Rigden, João Pedro de Magalhães, Bowen Song, Yujiao Tang, Rong Rong, Zhi-Liang Lu and Daiyun Huang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Jionglong Su

90 papers receiving 1.5k citations

Peers

Jionglong Su

MSOR

EEE

Alexandre H. Thiéry Singapore

Qinke Peng China

Borja Calvo Spain

Stefano Moretti France

Che Lin Taiwan

Zhenyao Chen China

Marco Beccuti Italy

Stijn Meganck Belgium

Jianming Ye China

Alexandre H. Thiéry Singapore

Jionglong Su

429 ×0.4

188 ×0.3

274 ×1.9

21 ×0.2

MSOR

104 ×0.9

EEE

Citations per year, relative to Jionglong Su Jionglong Su (= 1×) peers Alexandre H. Thiéry

Countries citing papers authored by Jionglong Su

Since Specialization

Citations

This map shows the geographic impact of Jionglong Su's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jionglong Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jionglong Su more than expected).

Fields of papers citing papers by Jionglong Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jionglong Su. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jionglong Su. The network helps show where Jionglong Su may publish in the future.

Co-authorship network of co-authors of Jionglong Su

This figure shows the co-authorship network connecting the top 25 collaborators of Jionglong Su. A scholar is included among the top collaborators of Jionglong Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jionglong Su. Jionglong Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Peng, Liang, Kang Dang, Mian Zhou, et al.. (2025). TIPS: Two-level prompt selection for more stability-plasticity balance in continual learning. Pattern Recognition. 171. 112276–112276.

Chen, Rui, et al.. (2025). Genesis: A Large-Scale Benchmark for Multimodal Large Language Model in Emotional Causality Analysis. 12651–12658.

Dang, Kang, Soon H Song, Zilong Wang, et al.. (2025). AI-assisted facial analysis in healthcare: From disease detection to comprehensive management. Patterns. 6(2). 101175–101175. 7 indexed citations

Wang, Haozhe, Yue Wang, Bowen Song, et al.. (2024). Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation. Cell Genomics. 5(1). 100702–100702. 2 indexed citations

Wang, Jifeng, et al.. (2024). Unsupervised Clustering in Football Analysis: A Color-Segmentation and Lighting Adaptation Approach. IEEE Access. 12. 178127–178141.

Yu, Limin, et al.. (2024). Fully Automatic Karyotyping via Deep Convolutional Neural Networks. IEEE Access. 12. 46081–46092. 2 indexed citations

Wang, Yue, Zhen Wei, Jionglong Su, Frans Coenen, & Jia Meng. (2023). RgnTX: Colocalization analysis of transcriptome elements in the presence of isoform heterogeneity and ambiguity. Computational and Structural Biotechnology Journal. 21. 4110–4117. 3 indexed citations

Yu, Limin, et al.. (2023). Down Syndrome detection with Swin Transformer architecture. Biomedical Signal Processing and Control. 86. 105199–105199. 7 indexed citations

Yan, Ting, et al.. (2023). AppraisalCloudPCT: A Computational Model of Emotions for Socially Interactive Robots for Autistic Rehabilitation. Computational Intelligence and Neuroscience. 2023(1). 5960764–5960764. 2 indexed citations

10.

Song, Sifan, Kang Dang, Zilong Wang, et al.. (2022). Bilateral-ViT For Robust Fovea Localization. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 3 indexed citations

11.

Song, Bowen, Daiyun Huang, Yuxin Zhang, et al.. (2022). m6A-TSHub: Unveiling the Context-Specific m 6 A Methylation and m 6 A-Affecting Mutations in 23 Human Tissues. Genomics Proteomics & Bioinformatics. 21(4). 678–694. 29 indexed citations

12.

Huang, Daiyun, Kunqi Chen, Bowen Song, et al.. (2022). Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation. Nucleic Acids Research. 50(18). 10290–10310. 26 indexed citations

13.

Wan, Guobin, et al.. (2022). FECTS: A Facial Emotion Cognition and Training System for Chinese Children with Autism Spectrum Disorder. Computational Intelligence and Neuroscience. 2022. 1–21. 18 indexed citations

14.

Huang, Daiyun, et al.. (2021). Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data. Bioinformatics. 37(Supplement_1). i222–i230. 30 indexed citations

15.

Ma, Jiongming, Bowen Song, Zhen Wei, et al.. (2021). m5C-Atlas: a comprehensive database for decoding and annotating the 5-methylcytosine (m5C) epitranscriptome. Nucleic Acids Research. 50(D1). D196–D203. 83 indexed citations

16.

Huang, Daiyun, Bowen Song, Kunqi Chen, et al.. (2021). Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications. Nature Communications. 12(1). 4011–4011. 89 indexed citations

17.

Song, Bowen, Yujiao Tang, Kunqi Chen, et al.. (2020). m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human. Bioinformatics. 36(11). 3528–3536. 99 indexed citations

18.

Chen, Kunqi, Bowen Song, Yujiao Tang, et al.. (2020). RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis. Nucleic Acids Research. 49(D1). D1396–D1404. 76 indexed citations

19.

Chen, Kunqi, Zhen Wei, Qing Zhang, et al.. (2019). WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach. Nucleic Acids Research. 47(7). e41–e41. 181 indexed citations

20.

Su, Jionglong, et al.. (2018). Novel Model for Cascading Failure Based on Degree Strength and Its Application in Directed Gene Logic Networks. Computational and Mathematical Methods in Medicine. 2018. 1–9. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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